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ROLE: DATA SCIENTIST
Location: Columbus, Ohio(Onsite)
Contract Type: W2
OVERALL EXPEREINCE 8-10YRS
INTERVIEW: TELEPHONIC & WENBCAM
Duties and Responsibilities:
ROLE: DATA SCIENTIST
Location: Columbus, Ohio(Onsite)
Contract Type: W2
OVERALL EXPEREINCE 8-10YRS
INTERVIEW: TELEPHONIC & WENBCAM
Duties and Responsibilities:
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
- Performs other duties as assigned.
- Master''s degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master''s degree, Bachelor''s degree with a minimum of 3 years’ work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Financial Services background